Beranger Dumont

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 12 citations into it
• Model Architectures — 10 citations into it
• Safety, Robustness & Interpretability — 8 citations into it

Whom Beranger Dumont trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Taco Cohen
3. Ian J. Goodfellow
4. Geoffrey E. Hinton
5. Risi Kondor
6. Max Welling
7. Jia Deng
8. Christian Szegedy
9. Seyed-Mohsen Moosavi-Dezfooli
10. Yoshua Bengio

Who trusts Beranger Dumont overall

1. Bastiaan S. Veeling
2. Jasper Linmans

Papers from Beranger Dumont's perspective

Ordered by how strongly the researchers Beranger Dumont trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Robustness of Rotation-Equivariant Networks to Adversarial Perturbations (2018) — 26 citations